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Open nowPosted 28 days ago

Data & Integration Engineer - GenAI

MyCareersFuture94,028 open roles

Pay
SGD 4,500 – SGD 6,500 a month
Where
Singapore
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Your applicationOpen nowData & Integration Engineer - GenAIMyCareersFuture · Singapore
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This job: posted 28 days ago

The posting

About the Client:

Our client is an established banking and financial services organization in Singapore, the role will be within their technology department

Responsibilities:

We are looking for a Data & Integration Engineer who operates effectively at the intersection of system analysis, enterprise integration and data engineering to support GenAI initiatives.

The successful candidate will:

· Understand business and functional requirements

· Translate them into data flows and integration designs

· Work across upstream and downstream systems

· Ensure reliable movement, transformation and availability of data for GenAI use cases

· Develop scripts / programs to get data from different integration systems

· Develop APIs to integrated with relevant systems.

The focus is on getting data into the right place, in the right format, reliably.

What Matters Most

 Strong system thinking and ability to understand end to end flows

 Ability to challenge bad designs and propose better ones

 Strong stakeholder communication

 Hands on enough to troubleshoot and implement, but not a pure coder

 Experience navigating messy enterprise ecosystems

Key Responsibilities 1. System Analysis & Design

  • Analyse business/technical requirements and translate them into data flows and integration designs
  • Work with upstream and downstream teams to define data contracts and interfaces
  • Identify gaps, inefficiencies and risks in current data movement processes
  • Propose pragmatic solutions balancing speed, quality and maintainability

2. Integration & Data Movement

  • Design and implement data movement across systems using:
  • APIs
  • SFTP and file based transfers
  • Batch pipelines
  • Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)
  • Ensure data is correctly transformed, mapped and delivered to target systems
  • Troubleshoot integration issues across environments

3. Data Preparation for GenAI

  • Support data ingestion and preparation for GenAI use cases:
  • document ingestion
  • data aggregation
  • enrichment and transformation
  • Work with structured and unstructured data
  • Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

You are not asking them to build models, just make data usable for them.

4. Delivery & Coordination

  • Work across multiple teams:
  • data platforms
  • application teams
  • infrastructure
  • security
  • Support SIT, UAT and production rollouts
  • Ensure integration reliability, error handling and monitoring
  • Document flows, mappings and interfaces clearly
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